Articles | Volume 13, issue 3
https://doi.org/10.5194/se-13-583-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
101 geodynamic modelling: how to design, interpret, and communicate numerical studies of the solid Earth
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- Final revised paper (published on 17 Mar 2022)
- Supplement to the final revised paper
- Preprint (discussion started on 18 Feb 2021)
- Supplement to the preprint
Interactive discussion
Status: closed
Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor
| : Report abuse
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CC1: 'Comment on se-2021-14', Paul PUKITE, 20 Feb 2021
- AC1: 'Reply on CC1', Iris van Zelst, 15 Sep 2021
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RC1: 'Comment on se-2021-14', Paul Tackley, 12 May 2021
- AC2: 'Reply on RC1', Iris van Zelst, 15 Sep 2021
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RC2: 'Comment on se-2021-14', Boris Kaus, 01 Jun 2021
- AC3: 'Reply on RC2', Iris van Zelst, 15 Sep 2021
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RC3: 'Comment on se-2021-14', Laurent Montesi, 23 Jun 2021
- AC4: 'Reply on RC3', Iris van Zelst, 15 Sep 2021
Peer review completion
AR – Author's response | RR – Referee report | ED – Editor decision | EF – Editorial file upload
AR by Iris van Zelst on behalf of the Authors (15 Sep 2021)
Author's response
Author's tracked changes
Manuscript
ED: Referee Nomination & Report Request started (20 Sep 2021) by Taras Gerya
RR by Boris Kaus (06 Dec 2021)
RR by Paul Tackley (17 Dec 2021)
RR by Laurent Montesi (17 Jan 2022)
ED: Publish subject to minor revisions (review by editor) (17 Jan 2022) by Taras Gerya
AR by Iris van Zelst on behalf of the Authors (23 Jan 2022)
Author's response
Author's tracked changes
Manuscript
ED: Publish as is (27 Jan 2022) by Taras Gerya
ED: Publish as is (27 Jan 2022) by Susanne Buiter (Executive editor)
AR by Iris van Zelst on behalf of the Authors (31 Jan 2022)
Manuscript
Just a comment that will help distinguish this document from what would be generic information that could be applied to any scientific discipline. What geophysics, astrophysics and similar disciplines have in common is the inability to set up a controlled experiment in the lab, which is an important factor in many other disciplines. Nowhere in the document is the lack of experimental control mentioned, which has an impact on how model validation is done. So can't test out a model hypothesis by setting up an experiment in the lab (e.g. no scaling of gravity possible, therefore any tidal forcing models are impossible to do in a lab). What this means is that the concept of cross-validation becomes much more important, in contrast to the typical hypothesis testing and prediction that are the usual yardsticks for evaluating the utility of a model. In addition, can't wait for predictions on geological time-scales that will unfold over the course of years to millenia, but do have historical data that is amenable to cross-validation analysis.
See https://en.wikipedia.org/wiki/Cross-validation_(statistics)
BTW, I come from a solid-state physics background where controlled experiments rule over everything else, and so this gaping hole in the discipline related to geophysics is glaringly obvious. This should be taken as advice from the trenches, no more than that.